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Bi-level thresholding is a motion gesture recognition technique that mediates between false positives, and false negatives by using two threshold levels: a tighter threshold that limits false positives and recognition errors, and a looser threshold that prevents repeated errors (false negatives) by analyzing movements in sequence. In this paper, we examine(More)
In the past few yearspsila peer-to-peer technology has become one of the most popular distributed technologies and same is the case for mobile agents. The extensive use of these applications makes us think to combine both the technologies to maximize their benefits. Peer-to-peer technology is very popular among user community and by integration of both the(More)
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